Qoder 0.2.29 is Here!Quest 1.0 is Now Available!

Quest 1.0 is Now Available:waving_hand: :waving_hand: :waving_hand: :waving_hand:

Features

  • Quest 1.0: Elevating Autonomous Coding

    • Agent Autonomy Enhancements: Quest autonomously delivers high-quality, end-to-end, production-ready results, with minimal human intervention.

      • Powered by top-tier models: Leverages world-leading AI models for optimal results in one shot;

      • Requirement alignment: Intent recognition, requirement clarification, and spec co-creation to align on tasks before execution;

      • Long-running capability: Significantly improved long-duration task execution, with agents monitoring completion;

      • Quality assurance: Built-in verification automatically validates and fixes deliverables

      • Continuous self-evolution: Beyond execution—actively evolves, remembers your style, and continuously learns new techniques

  • Support for More Use Scenarios: Quest recognizes user intent and automatically routes to the right capabilities.

    • Spec-driven development: Align on requirements and constraints first, then execute and verify to ensure clear, traceable results;

    • From idea to product: Creates websites and prototypes from scratch, with top-tier visual models for exceptional design quality and usability;

  • Reimagined Interaction: Smoother and more intuitive experience.

    • Seamless mode switching: Quest entry now in the top bar—easily switch between Editor and Quest modes;

    • Three-column layout: Task list + conversation area + output area, redefining Quest deliverables

    • Polished throughout: Refined interactions across every workflow

Agentic Chat: Introducing Browser and Plan agents with new capabilities

  • Browser Controls: Agent can directly control the browser to automatically capture page source, console logs, and network requests/traffic, enabling an end-to-end workflow from code generation to automated testing and automated debugging. It also supports use cases such as automated web crawling, significantly improving front-end engineering productivity.

  • Planning: When handling complex tasks, users can leverage human-agent collaboration to pre-define actionable execution plans. This significantly boosts task execution efficiency, minimizes rework, and improves both the quality of agent-generated code and the overall predictability of the results.

  • Terminal Sandbox for Mac/Linux: Agent commands now run in a secure sandbox environment, effectively isolating potentially risky operations.

Improvements

  • Agentic Chat: Redo functionality now supports restoring manually edited code

  • NEXT:Add background color to the editor area in its focused state to enhance the discoverability of completions.